Display Control Device for Image Search with Part-Level Feedback
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Solution Overview
Problem
Current image search systems face challenges in providing accurate search results due to the semantic gap between user perception and image feature analysis, often requiring significant user feedback to improve search accuracy, which can be burdensome and ineffective with limited feedback.
Innovation Solution
A system that includes a user terminal and shop server configuration, where user feedback is used to generate classifiers for each product part, allowing for high-accuracy searches even with minimal feedback by analyzing user preferences at a detailed part level, shared across multiple servers to optimize search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a classifier search technique is used to reduce semantic gap, then search accuracy is improved, but the same search result is provided to all users even when they have different preferences
Solution Approach 1:
The patent segments the product information into multiple parts (e.g., front view, back view, side views, details) and allows users to provide feedback on each part separately. This segmentation enables the system to capture nuanced user preferences for different aspects of products, thereby personalizing search results while maintaining overall search accuracy through the classifier framework.
2Measurement precision
If fit feedback technique is used to generate user-specific classifiers, then search accuracy matching user recognition is improved, but a predetermined amount of feedback is required which is burdensome for users
Solution Approach 1:
The patent implements partial feedback collection by allowing users to provide feedback on only certain parts of products that they care about most, rather than requiring comprehensive feedback on all aspects. The system can process partial feedback effectively to generate personalized classifiers, reducing the burden on users while still achieving good user preference matching.
3Adaptability or versatility
If comprehensive user feedback is collected to improve search accuracy, then search result personalization is improved, but the complexity of the feedback system increases
Solution Approach 1:
By dividing the feedback mechanism into discrete part-level units, the system simplifies the overall complexity. Each part can be evaluated independently with simple feedback options, and the results are aggregated to form the personalized classifier. This segmentation makes the feedback system more manageable and user-friendly while achieving comprehensive personalization.
Data Source
AI summary
An information processing apparatus may include a control unit to control display of parts information of a plurality of items, to generate search information according to feedback from a user for the parts information, and to control display of a search result according to the search information.